Artificial Intelligence and Data Science
Online ISSN : 2435-9262
FUNDAMENTAL STUDY ON EFFICIENT DATA SUPPLY SCHEME FOR INFRASTRUCTURE DATA PLATFORM
Toshihiro KAMEDAYoshihiro NAKAGAWARyo NAKAGAWAMasakazu OMACHIShuji UMEMOTO
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JOURNAL OPEN ACCESS

2021 Volume 2 Issue J2 Pages 349-354

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Abstract

It is expected that the demand for big supply of various data of infrastructure, not limited in AI application field, will increase, and it is required to develop the efficient data supply scheme in order to provide more detailed data to data platform for future data utilization. In this research, we focused on the utilization of MQTT protocol as a method that can realize automation of measurement data supply and immediate multiple use, and improved the efficiency of automatic measurement data supply when combined with automatic data measurement by LPWA. To ensure security during data distribution, we used MQTT with TLS connection in addition to LoRaWAN with AES encryption method. We constructed a prototype for measurement and data supply, and examined the possibility of real-time supply of infrastructure data by taking advantage of the characteristics of MQTT, which is a widely used protocol for one-to-many connection.

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© 2021 Japan Society of Civil Engineers
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